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https://github.com/chandrakanthrck/systemdesign_preparation

A comprehensive guide for system design interview preparation, covering essential concepts and real-world system designs. This repository includes in-depth explanations of key topics, detailed system design solutions for common applications, and hands-on practice questions.
https://github.com/chandrakanthrck/systemdesign_preparation

api-gateway caching cap-theorem cloud-architecture distributed-systems fault-tolerance high-availability interview-preparation microservices real-time-systems scalability scalable-systems system-design system-design-questions

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A comprehensive guide for system design interview preparation, covering essential concepts and real-world system designs. This repository includes in-depth explanations of key topics, detailed system design solutions for common applications, and hands-on practice questions.

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README

          

# System Design Preparation

This repository is a collection of system design concepts, real-world application designs, and interview questions to help you prepare for system design interviews. The goal is to provide a comprehensive resource covering both theoretical concepts and practical system designs.

## Repository Structure

This repository is organized into two main sections:

1. **Concepts**: Covers the essential concepts needed to understand and design scalable, fault-tolerant, and efficient systems.
2. **Questions**: Contains system design problems and their detailed solutions for real-world applications.

---

## Concepts

This section includes key system design concepts that are often asked in interviews or required when building scalable systems.

| Concept | Description |
|---------------------------------|-----------------------------------------------------------------------------|
| [APIGateway.md](concepts/APIGateway.md) | Explains the role of API gateways in microservices architecture. |
| [BatchVsStreamProcessing.md](concepts/BatchVsStreamProcessing.md) | Compares batch processing and stream processing with examples. |
| [CAPTheorem.md](concepts/CAPTheorem.md) | Discusses the CAP theorem and its implications in distributed systems. |
| [CDN.md](concepts/CDN.md) | Covers how Content Delivery Networks work and how they improve latency. |
| [Caching.md](concepts/Caching.md) | Provides caching strategies like write-through, write-back, and eviction.|
| [ConsensusAlgorithm.md](concepts/ConsensusAlgorithm.md) | Explains consensus algorithms like Paxos and Raft in distributed systems.|
| [DataPartitioning.md](concepts/DataPartitioning.md) | Explains techniques for partitioning large datasets for scalability. |
| [DatabaseIndexing.md](concepts/DatabaseIndexing.md) | Covers database indexing and how it improves query performance. |
| [DistributedLocks.md](concepts/DistributedLocks.md) | Explains how distributed locks are used to coordinate access in distributed systems. |
| [LeaderElection.md](concepts/LeaderElection.md) | Describes the process of leader election in distributed systems. |
| [LatencyVsThroughput.md](concepts/LatencyVsThroughput.md) | Discusses trade-offs between latency and throughput in system design. |
| [MicroservicesArchitecture.md](concepts/MicroservicesArchitecture.md) | Explains the principles and challenges of microservices architecture. |
| [WebSocket.md](concepts/WebSocket.md) | Covers WebSockets and their use for real-time communication. |

For more concepts, check the [concepts folder](./concepts).

---

## System Design Questions

This section includes solutions for designing real-world applications. Each problem includes a detailed analysis, high-level architecture, data flow, and key challenges.

| Application Design | Description |
|----------------------------------------|-----------------------------------------------------------------------------|
| [CacheSystem.md](questions/CacheSystem.md) | Design a scalable cache system with TTL, eviction policies, and persistence. |
| [ChatBot.md](questions/ChatBot.md) | Design a chatbot that can handle real-time messaging with NLP integration. |
| [Dropbox.md](questions/Dropbox.md) | Design a file storage and sharing system similar to Dropbox. |
| [E-CommerceApp.md](questions/E-CommerceApp.md) | Design an e-commerce system that handles transactions, product listings, and inventory. |
| [GoogleSearch.md](questions/GoogleSearch.md) | Design the search engine behind Google Search, with ranking algorithms. |
| [Instagram.md](questions/Instagram.md) | Design a social media platform like Instagram, focusing on photo uploads, stories, and scaling. |
| [Netflix.md](questions/Netflix.md) | Design a video streaming platform like Netflix with high availability and low latency. |
| [PushNotification.md](questions/PushNotification.md) | Design a push notification system for real-time delivery across platforms. |
| [Twitter.md](questions/Twitter.md) | Design a social media platform like Twitter with real-time feed and tweet features. |
| [Uber.md](questions/Uber.md) | Design a ride-hailing service like Uber, handling real-time location tracking and pricing. |
| [TaskScheduler.md](questions/TaskScheduler.md) | Design a task scheduling system that handles distributed tasks and retries. |

For more system design problems, check the [questions folder](./questions).

---

## How to Use This Repository

1. **Study Concepts**: Start by understanding the concepts that form the foundation of system design. Each concept is detailed with examples and key considerations.
2. **Practice with Questions**: Apply what you've learned by going through the real-world application designs. These problems will help you practice solving open-ended design questions typically asked in interviews.
3. **Revise Key Topics**: Use this repository to revise and refresh your knowledge before interviews or while working on projects that involve system design.

---

## Contributing

Feel free to contribute to this repository by:

- Adding more system design questions and solutions.
- Improving existing explanations or adding examples.
- Providing better diagrams or architectural representations.

---

## License

This repository is licensed under the MIT License. See the [LICENSE](./LICENSE) file for more details.

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Happy learning and good luck with your system design interviews!